Directional Spatial and Spectral Attention Network (DSSA Net) for EEG-based emotion recognition
Significant strides have been made in emotion recognition from Electroencephalography (EEG) signals. However, effectively modeling the diverse spatial, spectral, and temporal features of multi-channel brain signals remains a challenge. This paper proposes a novel framework, the Directional Spatial a...
Saved in:
Main Authors: | Jiyao Liu, Lang He, Haifeng Chen, Dongmei Jiang |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Neurorobotics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnbot.2024.1481746/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
EEG emotion recognition based on parallel separable convolution and label smoothing regularization
by: Yong ZHANG, et al.
Published: (2023-05-01) -
A Pre-Activation Residual Convolutional Network With Attention Modules for High-Resolution Segmented EEG Emotion Recognition
by: Ioannis Charalampous, et al.
Published: (2025-01-01) -
Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers
by: Camilo E. Valderrama, et al.
Published: (2025-02-01) -
The strength of confidence is involved in controlling the intensity of attentional allocation
by: Kazuki Yoshida, et al.
Published: (2025-01-01) -
INFLUENCE OF SMARTPHONES ON STUDENTS` ATTENTIONAL PROCESSES
by: M. A. Akopova
Published: (2020-08-01)